Boyuan Chen

Papers

Total Citations

108

H-Index

About

Boyuan Chen is a pioneering robotics and artificial intelligence researcher whose work sits at the intersection of embodied intelligence, self-modeling, and human-robot interaction. Best known for his groundbreaking 2022 paper on full-body visual self-modeling of robot morphologies — which has accumulated 61 citations — Chen has advanced the fundamental question of how robots can develop internal representations of their own physical bodies, enabling more adaptive and autonomous planning without relying on trial-and-error in the real world. This contribution echoes principles observed in biological systems, bridging robotics with cognitive science in meaningful ways. Chen's 2024 work on human-robot facial coexpression, already garnering 38 citations, pushes boundaries in nonverbal communication, addressing one of the most underexplored yet socially critical challenges in humanoid robotics. As large language models transform verbal interaction, Chen's research ensures physical expressiveness keeps pace. His more recent foray into nursing robotics and physical artificial intelligence reflects a broadening vision — exploring how intelligent robotic systems can reshape real-world caregiving. Across his portfolio, Chen demonstrates a rare ability to connect fundamental robotics research with tangible human impact, making his work essential reading for anyone serious about the future of intelligent machines.